Cal.Com Engineering Benchmarks
Cal.Com delivery benchmarks are based on 7 merged pull requests in the last 30 days (840 all-time), with 26.8 hours median cycle time, 11.7 hours median review time, and 7 active contributors. AI-related signals appear on 0.0% of recent work. PR volume is up 17% compared to the prior period.
Repo vs Cal.com Average
Delivery Trend and AI Signals
PR Backlog (Humans)
Excludes AI agents and automation accounts.
PR Backlog (AI Agents)
AI coding agents only.
AI Signals vs Cycle Time
Correlation
Cycle Time by AI-Related Signals
PR Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix(dynamic-booking): respect username order when picking t… | paul-hph | — |
| fix(ui): resolve React 19 ref deprecation warning in Toolti… | Rohan-Unbeg | — |
| fix(i18n/pl): booking_submitted_subject says "confirmed" in… | falefalefale | — |
| fix(api): specify default false for CalVideoSettings boolea… | Anshr23 | — |
| fix(trpc): execute tempOrgRedirect rewrite on tx inside upd… | sagarithm | — |
Methodology
Metrics are computed from merged pull request data synced daily from GitHub. AI-related metrics are directional signals inferred from pull request activity patterns and heuristics. Summary metrics use a 30-day rolling window; trends use a 90-day window. Last updated 2 hours, 3 minutes ago.
Updated daily from public GitHub pull requests.
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